Machine Learning Engineer

March 28

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Upstart

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Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.

Personal Loans • FinTech • Marketplace Lending • Artificial intelligence • Finance

1001 - 5000 employees

📋 Description

• Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. • Machine Learning Engineer collaborates with Research Scientists, Data Scientists, and other engineering departments. • Focus on leveraging machine learning to power Upstart's underwriting models. • Responsible for building the underwriting model that determines credit decisioning at Upstart. • Reduce time from idea to production enabling effective credit access. • Design and implement code and algorithms to improve model’s predictive power.

🎯 Requirements

• Phd in a quantitative field with 0+ years of relevant experience • Masters in a quantitative field with 2+years of relevant experience • Bachelors in a quantitative field with 4+years of relevant experience • Experience in Python • Experience with Machine Learning

🏖️ Benefits

• Competitive Compensation (base + bonus & equity) • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings • Employee Stock Purchase Plan (ESPP) • Life and disability insurance • Generous holiday, vacation, sick and safety leave • Supportive parental, family care, and military leave programs • Annual wellness, technology & ergonomic reimbursement programs • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering • Catered lunches + snacks & drinks when working in offices